Manufacturing process encoding through natural language processing for prediction of material properties

This dataset encompasses all the data used in the machine learning model presented in the paper titled 'Manufacturing Process Encoding through Natural Language Processing for Prediction of Material Properties,' authored by the same individuals. It consists of historical manufacturing process data and processed information, including both labeled and one-hot encoded data. The paper thoroughly details the hyperparameters employed in the models and provides a comprehensive overview of the training and test sets. Additionally, the dataset includes the detailed code for the neural network structure. Furthermore, it incorporates the code for PCA and K-means analysis as presented in the paper.